📌 Spotted on GitHub Trending: msitarzewski/agency-agents — let's break it down.
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
──────────────────────────────
The Agency is a collection of AI agent personalities, each with deep expertise, unique voice, and deliverable-focused approach. The agents are specialized, personality-driven, and production-ready, making them a valuable addition to any team.
The
To get started, you can
The Agency roster includes a wide range of agents, from Frontend Developer to AI Engineer, each with their own specialty and use case.
Whether you're looking to build a modern web app or optimize your database, there's an agent to help.
In short, The Agency is your dream team of AI specialists, and with this repository, you can assemble them in just a few clicks - your new team of AI agents is just a download away!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/msitarzewski/agency-agents
📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
──────────────────────────────
The Agency is a collection of AI agent personalities, each with deep expertise, unique voice, and deliverable-focused approach. The agents are specialized, personality-driven, and production-ready, making them a valuable addition to any team.
The
agency-agents repository provides various installation options, including a native desktop app for macOS, Linux, and Windows, as well as script-based installations for different tools like Claude Code, Cursor, and Gemini CLI. To get started, you can
download the app or use the command line to install the agents. For example:./scripts/install.sh --tool claude-code
The Agency roster includes a wide range of agents, from Frontend Developer to AI Engineer, each with their own specialty and use case.
Whether you're looking to build a modern web app or optimize your database, there's an agent to help.
In short, The Agency is your dream team of AI specialists, and with this repository, you can assemble them in just a few clicks - your new team of AI agents is just a download away!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤2
Github Top Repositories
Photo
📌 Spotted on GitHub Trending: kvcache-ai/ktransformers — let's break it down.
🔗 https://github.com/kvcache-ai/ktransformers
📝 A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
──────────────────────────────
The ktransformers project is a flexible framework for experiencing cutting-edge large language model (LLM) inference and fine-tuning optimizations. It focuses on efficient inference and fine-tuning through CPU-GPU heterogeneous computing. Key features include high-performance kernel operations, efficient mixture-of-experts (MoE) inference, quantization support, and easy integration with other frameworks.
The project has two main capabilities:
The framework supports various models, including DeepSeek-R1, Qwen3-Next, and Kimi-K2, and provides tutorials and documentation for each. It also offers technical highlights such as AMX/AVX acceleration, MoE optimization, and quantization support.
KTransformers is suitable for researchers, developers, and anyone interested in efficient LLM inference and fine-tuning. The project is developed and maintained by MADSys Lab, Approaching.AI, and community contributors, and welcomes contributions and feedback.
Get started with
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/kvcache-ai/ktransformers
📝 A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
──────────────────────────────
The ktransformers project is a flexible framework for experiencing cutting-edge large language model (LLM) inference and fine-tuning optimizations. It focuses on efficient inference and fine-tuning through CPU-GPU heterogeneous computing. Key features include high-performance kernel operations, efficient mixture-of-experts (MoE) inference, quantization support, and easy integration with other frameworks.
The project has two main capabilities:
Inference and SFT (Fine-Tuning). Inference provides CPU-optimized kernel operations for heterogeneous LLM inference, while SFT offers fine-tuning with LLaMA-Factory integration for ultra-large MoE models.The framework supports various models, including DeepSeek-R1, Qwen3-Next, and Kimi-K2, and provides tutorials and documentation for each. It also offers technical highlights such as AMX/AVX acceleration, MoE optimization, and quantization support.
KTransformers is suitable for researchers, developers, and anyone interested in efficient LLM inference and fine-tuning. The project is developed and maintained by MADSys Lab, Approaching.AI, and community contributors, and welcomes contributions and feedback.
Get started with
KTransformers today and unlock the full potential of your LLMs: efficient inference and fine-tuning made easy!──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤1
🔍 Deep-diving into jamiepine/voicebox — fresh off the trending list.
🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
──────────────────────────────
The Voicebox GitHub repository offers an open-source AI voice studio that provides a range of features for voice cloning, speech generation, and dictation. With
Some of the key technical highlights include a
The target audience for Voicebox appears to be developers, content creators, and anyone interested in exploring the possibilities of AI voice technology. With its complete privacy guarantee and
In short, Voicebox is a powerful tool that puts the full voice I/O stack at your fingertips - and with its open-source approach, the possibilities for innovation and customization are endless: Take control of your voice, and let your voice be heard.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
──────────────────────────────
The Voicebox GitHub repository offers an open-source AI voice studio that provides a range of features for voice cloning, speech generation, and dictation. With
7 TTS engines and support for 23 languages, users can clone voices from reference samples, generate speech, and even dictate into any text field with a global hotkey. The app also includes post-processing effects like pitch shift, reverb, and delay, as well as unlimited generation length with automatic chunking and crossfading.Some of the key technical highlights include a
REST API and a built-in MCP server for integrating voice I/O into other apps and agents. The app is built with Tauri (Rust) for native performance and runs on macOS, Windows, Linux, Docker, and other platforms.The target audience for Voicebox appears to be developers, content creators, and anyone interested in exploring the possibilities of AI voice technology. With its complete privacy guarantee and
local-first approach, Voicebox is an attractive option for those who value data security and flexibility.In short, Voicebox is a powerful tool that puts the full voice I/O stack at your fingertips - and with its open-source approach, the possibilities for innovation and customization are endless: Take control of your voice, and let your voice be heard.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
💡 topoteretes/cognee just hit the trending charts — here's why it matters.
🔗 https://github.com/topoteretes/cognee
📝 Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
──────────────────────────────
Cognee is an open-source AI memory platform that gives AI agents persistent long-term memory across sessions. It ingests data in any format, builds a self-hosted knowledge graph, and lets every agent recall, connect, and act with full context. Key features include vector embeddings, graph reasoning, and cognitive-science-grounded ontology generation.
To
Technical highlights include reliable and trustworthy agents, persistent and learning agents, and knowledge infrastructure. Cognee is perfect for developers and researchers who want to give their AI agents a brain that never forgets.
One-liner takeaway: Cognee helps AI agents remember everything, so they can make smarter decisions and take actions with full context.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/topoteretes/cognee
📝 Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
──────────────────────────────
Cognee is an open-source AI memory platform that gives AI agents persistent long-term memory across sessions. It ingests data in any format, builds a self-hosted knowledge graph, and lets every agent recall, connect, and act with full context. Key features include vector embeddings, graph reasoning, and cognitive-science-grounded ontology generation.
To
use Cognee, simply install it with pip, configure the LLM, and run the pipeline with four operations — remember, recall, forget, and improve. It's available as a plugin for OpenClaw, Claude Code, and has Rust and TypeScript clients. Technical highlights include reliable and trustworthy agents, persistent and learning agents, and knowledge infrastructure. Cognee is perfect for developers and researchers who want to give their AI agents a brain that never forgets.
One-liner takeaway: Cognee helps AI agents remember everything, so they can make smarter decisions and take actions with full context.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
🌟 Robbyant/lingbot-map caught my eye on GitHub Trending today.
🔗 https://github.com/Robbyant/lingbot-map
📝 A feed-forward 3D foundation model for reconstructing scenes from streaming data
──────────────────────────────
LingBot-Map is a cutting-edge repo that introduces a geometric context transformer for streaming 3D reconstruction. This innovative approach unifies coordinate grounding, dense geometric cues, and long-range drift correction within a single streaming framework. The key features of LingBot-Map include its high-efficiency streaming inference, achieving stable performance at ~20 FPS on 518×378 resolution over long sequences exceeding 10,000 frames, and its state-of-the-art reconstruction capabilities, outperforming existing streaming and iterative optimization-based approaches.
To get started with LingBot-Map, users can follow the
The target audience for LingBot-Map includes researchers and developers in the field of 3D reconstruction, as well as professionals working with 3D modeling and computer vision. The repo's technical highlights, such as its feed-forward architecture and paged KV cache attention, make it an attractive solution for applications requiring efficient and accurate 3D reconstruction.
In a nutshell, LingBot-Map is a game-changer for streaming 3D reconstruction, and its efficiency, accuracy, and ease of use make it a must-try for anyone working in the field: Reconstruct your world in 3D, effortlessly!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/Robbyant/lingbot-map
📝 A feed-forward 3D foundation model for reconstructing scenes from streaming data
──────────────────────────────
LingBot-Map is a cutting-edge repo that introduces a geometric context transformer for streaming 3D reconstruction. This innovative approach unifies coordinate grounding, dense geometric cues, and long-range drift correction within a single streaming framework. The key features of LingBot-Map include its high-efficiency streaming inference, achieving stable performance at ~20 FPS on 518×378 resolution over long sequences exceeding 10,000 frames, and its state-of-the-art reconstruction capabilities, outperforming existing streaming and iterative optimization-based approaches.
To get started with LingBot-Map, users can follow the
installation instructions, which involve creating a conda environment, installing PyTorch, and installing the lingbot-map package. The repo also provides a quick start guide, which enables users to run their first scene with a single command. Additionally, the interactive demo allows users to visualize 3D scenes interactively, while the offline rendering pipeline enables batch rendering for long sequences. The target audience for LingBot-Map includes researchers and developers in the field of 3D reconstruction, as well as professionals working with 3D modeling and computer vision. The repo's technical highlights, such as its feed-forward architecture and paged KV cache attention, make it an attractive solution for applications requiring efficient and accurate 3D reconstruction.
In a nutshell, LingBot-Map is a game-changer for streaming 3D reconstruction, and its efficiency, accuracy, and ease of use make it a must-try for anyone working in the field: Reconstruct your world in 3D, effortlessly!
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
🔍 Deep-diving into every-app/open-seo — fresh off the trending list.
🔗 https://github.com/every-app/open-seo
📝 Open source alternative to Semrush and Ahrefs
──────────────────────────────
OpenSEO is an open-source alternative to expensive SEO tools like Semrush and Ahrefs. It's an all-in-one SEO tool that you can control, with a modern and simple UI focused on workflows like keyword research, rank tracking, and competitor insights.
You can use
The tool is pay-as-you-go, so you only pay for what you use, and you can self-host it using
OpenSEO is perfect for anyone looking for an affordable and customizable SEO solution.
Take control of your SEO with OpenSEO - it's the people's SEO tool.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/every-app/open-seo
📝 Open source alternative to Semrush and Ahrefs
──────────────────────────────
OpenSEO is an open-source alternative to expensive SEO tools like Semrush and Ahrefs. It's an all-in-one SEO tool that you can control, with a modern and simple UI focused on workflows like keyword research, rank tracking, and competitor insights.
You can use
OpenSEO with any AI agent, and it even offers pre-built skills for popular agents like Claude Code, OpenClaw, or Hermes. The tool is pay-as-you-go, so you only pay for what you use, and you can self-host it using
Docker or Cloudflare. OpenSEO is perfect for anyone looking for an affordable and customizable SEO solution.
Take control of your SEO with OpenSEO - it's the people's SEO tool.
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
Github Top Repositories
Photo
🚀 Meet MoonshotAI/kimi-cli: a gem from today's GitHub trending list.
🔗 https://github.com/MoonshotAI/kimi-cli
📝 Kimi Code CLI is your next CLI agent.
──────────────────────────────
Kimi CLI is an AI agent that runs in your terminal, designed to assist with software development tasks and terminal operations. It can read and edit code, execute shell commands, search and fetch web pages, and even plan and adjust actions during execution.
The key features of Kimi CLI include a shell command mode that allows you to run shell commands without leaving the interface, a VS Code extension for integration with Visual Studio Code, and support for IDE integration via ACP (Agent Client Protocol) for compatibility with various editors and IDEs. Additionally, it offers Zsh integration and MCP support for Model Context Protocol tools.
To get started with Kimi CLI, you can refer to the
The target audience for Kimi CLI appears to be developers who want to leverage AI capabilities to enhance their productivity and workflow. However, note that Kimi CLI is evolving into Kimi Code CLI, and this project will be gradually wound down.
One-liner takeaway:
──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
🔗 https://github.com/MoonshotAI/kimi-cli
📝 Kimi Code CLI is your next CLI agent.
──────────────────────────────
Kimi CLI is an AI agent that runs in your terminal, designed to assist with software development tasks and terminal operations. It can read and edit code, execute shell commands, search and fetch web pages, and even plan and adjust actions during execution.
The key features of Kimi CLI include a shell command mode that allows you to run shell commands without leaving the interface, a VS Code extension for integration with Visual Studio Code, and support for IDE integration via ACP (Agent Client Protocol) for compatibility with various editors and IDEs. Additionally, it offers Zsh integration and MCP support for Model Context Protocol tools.
To get started with Kimi CLI, you can refer to the
Getting Started guide, which provides installation and usage instructions. For development, you can clone the repository, prepare the development environment, and use various make commands to run, format, and test the code.The target audience for Kimi CLI appears to be developers who want to leverage AI capabilities to enhance their productivity and workflow. However, note that Kimi CLI is evolving into Kimi Code CLI, and this project will be gradually wound down.
One-liner takeaway:
Kimi CLI is a terminal AI agent that's evolving into Kimi Code CLI, so try the next-generation terminal AI agent for a more enhanced experience!──────────────────────────────
🧠 Channel: https://t.iss.one/GithubRe
❤1